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21.发明授权System and method for reducing high density artifacts in computed tomography imaging 有权用于降低计算机断层成像中高密度伪影的系统和方法公开(公告)号：US09074986B2
公开(公告)日：2015-07-07
申请号：US13875369
申请日：2013-05-02
Applicant: General Electric Company
Inventor： Debashish Pal , Jiang Hsieh , Paavana Sainath , Girijesh Yadava , Brian Edward Nett
CPC classification number: G01N23/046 , A61B6/032 , A61B6/482 , A61B6/488 , A61B6/5258 , A61B6/545 , G01V5/005
Abstract: An imaging system includes a rotatable gantry for receiving an object to be scanned, a generator configured to energize an x-ray source to generate x-rays, a detector positioned to receive the x-rays that pass through the object, and a computer. The computer is programmed to obtain knowledge of a metal within the object, scan the object using system scanning parameters, reconstruct an image of the object using a reconstruction algorithm, and automatically select at least one of the system scanning parameters and the reconstruction algorithm based on the obtained knowledge.
Abstract translation: 成像系统包括用于接收待扫描物体的可旋转机架，被配置为激励X射线源以产生X射线的发生器，定位成接收穿过物体的x射线的检测器以及计算机。 计算机被编程以获得对象内的金属的知识，使用系统扫描参数扫描对象，使用重建算法重构对象的图像，并且基于以下方式自动选择系统扫描参数和重建算法中的至少一个： 获得知识。
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22.发明申请公开(公告)号：US20150125055A1
公开(公告)日：2015-05-07
申请号：US14070252
申请日：2013-11-01
Applicant: General Electric Company
Inventor： Hewei Gao , Girijesh K. Yadava , Adam Israel Cohen , Brian Edward Nett
CPC classification number: G01N23/046 , A61B6/032 , A61B6/482 , A61B6/5211 , A61B6/5258 , A61B6/583 , A61B8/0875 , G01N2223/42 , G06T11/005
Abstract: Systems and methods for iterative multi-material correction are provided. A system includes an imager that acquires projection data of an object. A reconstructor reconstructs the acquired projection data into a reconstructed image, utilizes the reconstructed image to perform a multi-material correction on the acquired projection data to generate a multi-material corrected reconstructed image, and utilizes the multi-material corrected reconstructed image to perform one or more iterations of the multi-material correction on the projection data to generate an iteratively corrected multi-material corrected image.
Abstract translation: 提供了迭代多材料校正的系统和方法。 系统包括获取对象的投影数据的成像器。 重构器将所获取的投影数据重建为重建图像，利用重构图像对所获取的投影数据执行多材料校正，以生成多材料校正的重建图像，并利用多材料校正的重建图像来执行一个 或更多次迭代的投影数据上的多材料校正以生成迭代校正的多材料校正图像。
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23.发明申请公开(公告)号：US20140363069A1
公开(公告)日：2014-12-11
申请号：US14469821
申请日：2014-08-27
Applicant: General Electric Company
Inventor： Jiang Hsieh , Brian Edward Nett , Pavaana Sainath , Debashish Pal
CPC classification number: G06T5/005 , A61B6/032 , A61B6/405 , A61B6/482 , A61B6/488 , A61B6/5205 , A61B6/5258 , G06T7/0012 , G06T11/005 , G06T2211/408
Abstract: A method is provided. The method includes acquiring a first dataset at a first energy spectrum and a second dataset at a second energy spectrum. The method also includes extracting a metal artifact correction signal using the first dataset and the second dataset or using a first reconstructed image and a second reconstructed image generated respectively from the first and the second datasets. The method further includes performing metal artifact correction on the first reconstructed image using the metal artifact correction signal to generate a first corrected image.
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公开(公告)号：US20140126784A1
公开(公告)日：2014-05-08
申请号：US13667734
申请日：2012-11-02
Applicant: General Electric Company
Inventor： Scott Hsieh , Norbert J. Pelc , Brian Edward Nett
IPC: G06T7/00
CPC classification number: G06T11/005 , G06T2211/432
Abstract: A method for performing truncation artifact correction includes acquiring a projection dataset of a patient, the projection dataset including measured data and truncated data, generating an initial estimate of a boundary between the measured data and the truncated data, using the measured data to revise the initial estimate of the boundary, estimating the truncated data using the revised estimate of the boundary, and using the measured data and the estimated truncated data to generate an image of the patient.
Abstract translation: 一种用于执行截断伪影校正的方法，包括获取患者的投影数据集，投影数据集包括测量数据和截断数据，使用测量数据生成测量数据和截断数据之间的边界的初始估计值，以修改初始值 边界的估计，使用边界的修正估计估计截断的数据，以及使用测量数据和估计的截断数据来生成患者的图像。
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公开(公告)号：US11270477B2
公开(公告)日：2022-03-08
申请号：US16177179
申请日：2018-10-31
Applicant: General Electric Company
Inventor： Brian Edward Nett , Jiahua Fan , Amber Christine Silvaggio
Abstract: Methods and systems are provided for reconstructing images with a tailored image texture. In one embodiment, a method comprises acquiring projection data, and reconstructing an image from the projection data with a desired image texture. In this way, iterative image reconstruction techniques may be used to substantially reduce image noise, thereby enabling a reduction in injected contrast and/or radiation dose, while preserving an image texture familiar from analytic image reconstruction techniques.
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Patent Agency Ranking
公开(公告)号：US20210104040A1
公开(公告)日：2021-04-08
申请号：US17124616
申请日：2020-12-17
Applicant: General Electric Company
Inventor： Brian Edward Nett
Abstract: A method for analyzing computed tomography angiography (CTA) data is provided. The method includes receiving, at a processor, three-dimensional (3D) CTA data. The method also includes automatically, via the processor, detecting objects of interest within the 3D CTA data. The method further includes generating, via the processor, a CTA image volume that only includes the objects of interest.
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公开(公告)号：USD908229S1
公开(公告)日：2021-01-19
申请号：US29670467
申请日：2018-11-15
Applicant: General Electric Company
Designer： Grant Richard Wagner , Brian Edward Nett
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公开(公告)号：US09629587B2
公开(公告)日：2017-04-25
申请号：US14511875
申请日：2014-10-10
Applicant: General Electric Company
Inventor： Darin Robert Okerlund , Sandeep Dutta , Brian Edward Nett , David Pazzani , Daniel Stassi , Tal Gilat Schmidt
CPC classification number: A61B5/7292 , A61B5/7289 , A61B6/00 , A61B6/032 , A61B6/037 , A61B6/503 , A61B6/5211 , A61B6/5264 , A61B2576/023 , G01R33/20 , G06T11/003 , G06T11/005 , G06T2207/10081 , G06T2207/30048 , G06T2207/30101 , G06T2211/412
Abstract: A method is provided including determining at least one range of phases of a cardiac cycle from which to select a selected phase based on at least one of patient demographic information, patient physiological information, or a general physiological model. The method also includes generating corresponding intermediate images for each of the phases of the at least one range of phases. Further, the method includes selecting the selected phase based on at least one image quality (IQ) metric of the intermediate images. Also, the method includes generating an image for diagnostic use using imaging information from the selected phase.
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公开(公告)号：US09619889B2
公开(公告)日：2017-04-11
申请号：US14520190
申请日：2014-10-21
Applicant: General Electric Company
Inventor： Brian Edward Nett , Chuang Miao
CPC classification number: G06T7/12 , A61B6/481 , A61B6/52 , A61B6/5258 , A61B34/10 , A61B90/37 , A61B2090/374 , A61B2090/3764 , A61B2090/378 , A61B2576/00 , G06T5/008 , G06T7/11 , G06T2207/10081
Abstract: Various methods and systems are provided for correcting contrast banding artifacts across multiple acquisitions in reconstructed images. In one embodiment, a method for computed tomography imaging comprises generating an original image comprising multiple subvolumes, segmenting the original image into different structures for each subvolume, selectively applying a mask-based correction through each area of subvolume that includes continuous structures to generate an updated image, and performing streak correction between the original image and the updated image to generate a final image. In this way, image quality may be improved without adjusting anatomical structures in an image.
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公开(公告)号：US09196061B2
公开(公告)日：2015-11-24
申请号：US13667734
申请日：2012-11-02
Applicant: General Electric Company
Inventor： Scott Hsieh , Norbert J. Pelc , Brian Edward Nett
CPC classification number: G06T11/005 , G06T2211/432
Abstract: A method for performing truncation artifact correction includes acquiring a projection dataset of a patient, the projection dataset including measured data and truncated data, generating an initial estimate of a boundary between the measured data and the truncated data, using the measured data to revise the initial estimate of the boundary, estimating the truncated data using the revised estimate of the boundary, and using the measured data and the estimated truncated data to generate an image of the patient.
Abstract translation: 一种用于执行截断伪影校正的方法，包括获取患者的投影数据集，投影数据集包括测量数据和截断数据，使用测量数据生成测量数据和截断数据之间的边界的初始估计值，以修改初始值 边界的估计，使用边界的修正估计估计截断的数据，以及使用测量数据和估计的截断数据来生成患者的图像。
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